Fernando Espinosa Iñiguez
@neuralvocoder.bsky.social
Audio ML Research @ Auto-Tune 🎤🎵
Bay Area SSBM & RL gamer
Love to talk Cognitive Science, Linguistics, Bio-inspired Learning, Topological Signal Processing & TDA
Bay Area SSBM & RL gamer
Love to talk Cognitive Science, Linguistics, Bio-inspired Learning, Topological Signal Processing & TDA
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding arxiv.org/abs/2505.17939
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Graph Neural Networks (GNNs) excel at learning from pairwise interactions but often overlook multi-way and hierarchical relationships. Topological Deep Learning (TDL) addresses this limitation by leve...
arxiv.org
May 29, 2025 at 5:59 PM
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding arxiv.org/abs/2505.17939
A Geometric Perspective on Variational Autoencoders
proceedings.neurips.cc/paper_files/...
proceedings.neurips.cc/paper_files/...
proceedings.neurips.cc
April 2, 2025 at 5:11 PM
A Geometric Perspective on Variational Autoencoders
proceedings.neurips.cc/paper_files/...
proceedings.neurips.cc/paper_files/...
Reposted by Fernando Espinosa Iñiguez
In Science, researchers report a physics-informed #DeepLearning model that can predict the deformation behavior of Antarctic ice shelves, revealing complexities of the process that extend beyond the traditional understanding.
Learn more in a new #SciencePerspective. scim.ag/3RgudLc
Learn more in a new #SciencePerspective. scim.ag/3RgudLc
How does Antarctic ice deform?
A deep-learning model infers large-scale dynamics of Antarctic ice shelves
scim.ag
March 17, 2025 at 7:35 PM
In Science, researchers report a physics-informed #DeepLearning model that can predict the deformation behavior of Antarctic ice shelves, revealing complexities of the process that extend beyond the traditional understanding.
Learn more in a new #SciencePerspective. scim.ag/3RgudLc
Learn more in a new #SciencePerspective. scim.ag/3RgudLc
The Many Faces of Information Geometry (2022)
www.ams.org/notices/2022...
www.ams.org/notices/2022...
www.ams.org
March 13, 2025 at 9:25 PM
The Many Faces of Information Geometry (2022)
www.ams.org/notices/2022...
www.ams.org/notices/2022...
Can one hear the shape of a drum? (1966)
www.math.ucdavis.edu
February 28, 2025 at 8:40 PM
Can one hear the shape of a drum? (1966)
I follow Jeff Hawkins and the numenta group's work closely and recommend anyone into Neuroscience check it out
arxiv.org/abs/2412.18354
arxiv.org/abs/2412.18354
The Thousand Brains Project: A New Paradigm for Sensorimotor Intelligence
Artificial intelligence has advanced rapidly in the last decade, driven primarily by progress in the scale of deep-learning systems. Despite these advances, the creation of intelligent systems that ca...
arxiv.org
February 21, 2025 at 4:22 AM
I follow Jeff Hawkins and the numenta group's work closely and recommend anyone into Neuroscience check it out
arxiv.org/abs/2412.18354
arxiv.org/abs/2412.18354
Reservoir 🤝 Neuromorphic
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Principled neuromorphic reservoir computing - Nature Communications
Reservoir computing designs recurrent networks that simultaneously buffer inputs and form nonlinear features. Here, authors propose a configurable scheme with better scaling where memory buffer and no...
www.nature.com
February 21, 2025 at 4:17 AM
Reservoir 🤝 Neuromorphic
www.nature.com/articles/s41...
www.nature.com/articles/s41...
I think a lot of the tda techniques being applied to eeg/fmri are especially relevant to future audio research because in practice those signals are noisy 👀
arxiv.org/abs/2502.00249
arxiv.org/abs/2502.00249
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals
We introduce a novel framework that integrates Hodge decomposition with Filtered Average Short-Term (FAST) functional connectivity to analyze dynamic functional connectivity (DFC) in EEG signals. This...
arxiv.org
February 21, 2025 at 4:14 AM
I think a lot of the tda techniques being applied to eeg/fmri are especially relevant to future audio research because in practice those signals are noisy 👀
arxiv.org/abs/2502.00249
arxiv.org/abs/2502.00249
Re: deepseek
arxiv.org/abs/1511.09249
arxiv.org/abs/1511.09249
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
This paper addresses the general problem of reinforcement learning (RL) in partially observable environments. In 2013, our large RL recurrent neural networks (RNNs) learned from scratch to drive simul...
arxiv.org
February 21, 2025 at 4:09 AM
Re: deepseek
arxiv.org/abs/1511.09249
arxiv.org/abs/1511.09249
Just gonna start posting cool papers on here, with or without commentary :) www.nature.com/articles/s41...
Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits - Nature Communications
Authors report an AI enabled design method for the synthesis of radio-frequency and millimetre-wave integrated circuits. It can discover architectures beyond human intuition and synthesizes these circ...
www.nature.com
February 21, 2025 at 4:02 AM
Just gonna start posting cool papers on here, with or without commentary :) www.nature.com/articles/s41...
Every skill has local minima you get caught in early on. You hit a wall where more practice doesn't mean you get better. To get out of it, you either take steps in random directions and hope you get out of it eventually, or someone else (mentor, peer) tells you what you could be doing better.
November 21, 2024 at 7:11 PM
Every skill has local minima you get caught in early on. You hit a wall where more practice doesn't mean you get better. To get out of it, you either take steps in random directions and hope you get out of it eventually, or someone else (mentor, peer) tells you what you could be doing better.